Skip to main content

Brain Visualizer runtime package for FEAGI (meta-package)

Project description

feagi-bv

Python package that bundles Brain Visualizer binaries with a simple launcher API.

Installation

Most users should install the full FEAGI package instead:

pip install feagi  # Includes feagi-core + feagi-bv automatically

Only install feagi-bv directly if:

  • You already have feagi-core installed
  • You're building custom tooling
pip install feagi-bv  # Requires feagi-core separately

This will automatically install the correct platform-specific package for your system:

  • feagi-bv-linux on Linux
  • feagi-bv-macos on macOS
  • feagi-bv-windows on Windows

Usage

from feagi_bv import BrainVisualizer

# Create and configure BV launcher
bv = BrainVisualizer()
bv.load_config("feagi_configuration.toml")

# Start BV process
pid = bv.start()
print(f"Brain Visualizer running (PID: {pid})")

Version Mapping

feagi-bv version = BrainVisualizer binary version

pip install feagi-bv==2.0.3
# ↑ Installs BrainVisualizer v2.0.3 binaries

Architecture

This is a meta-package that installs platform-specific binaries:

  • feagi-bv-linux: Linux x86_64 binaries (~50-70 MB)
  • feagi-bv-macos: macOS universal binaries (~150-200 MB)
  • feagi-bv-windows: Windows x86_64 binaries (~50-70 MB)

Only the binaries for your platform are downloaded.

Dependencies

  • feagi-core>=2.1.0 - FEAGI SDK (core package)
  • toml>=0.10.2 - Configuration parsing

Links

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

feagi_bv-2.3.8-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file feagi_bv-2.3.8-py3-none-any.whl.

File metadata

  • Download URL: feagi_bv-2.3.8-py3-none-any.whl
  • Upload date:
  • Size: 4.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for feagi_bv-2.3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 fd5b8d6c59335b51aed72603dc9a9a1c068d589f41f8d42cb26eb5962fb0fc80
MD5 f5b3b50e1375cc4994f019b7807af4b0
BLAKE2b-256 fe64a8f1bac4343f400f4163a0fa573cc3a330c0a140f319ec59ee4dd481939f

See more details on using hashes here.

Provenance

The following attestation bundles were made for feagi_bv-2.3.8-py3-none-any.whl:

Publisher: release.yml on feagi/brain-visualizer

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page